Leveraging Zone Air Temperature Data to Improve Physics-Based Energy Simulation of Existing Buildings
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Leveraging Zone Air Temperature Data to Improve Physics-Based Energy Simulation of Existing Buildings

  • Author(s): Hong, T
  • Lee, SH
  • et al.

Published Web Location

http://www.ibpsa.org/proceedings/BS2017/BS2017_137.pdf
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Abstract

The paper introduces a hybrid modelling approach that enhances the accuracy and usability of physics-based energy simulation for existing buildings. The approach leverages measured zone air temperature data streams— increasingly available from smart thermostats—to derive difficult-to-obtain input parameters for internal thermal mass and infiltration airflow rates. It does so using a reformulated inverse heat balance algorithm. We implemented the inverse algorithms in EnergyPlus and used LBNL's Facility for Low Energy eXperiments (FLEXLAB) for demonstration and validation

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